An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming
Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
Towards network-wide QoE fairness using openflow-assisted adaptive video streaming
Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
Improving Fairness, Efficiency, and Stability in HTTP-Based Adaptive Video Streaming With Festive
IEEE/ACM Transactions on Networking (TON)
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Dynamic Adaptive Streaming over HTTP (DASH) is widely deployed on the Internet for live and on-demand video streaming services. Video adaptation algorithms in existing DASH systems are either too sluggish to respond to congestion level shifts or too sensitive to short-term network bandwidth variations. Both degrade user video experience. In this paper, we formally study the responsiveness and smoothness trade-off in DASH through analysis and experiments. We show that client-side buffered video time is a good feedback signal to guide video adaptation. We then propose novel video rate control algorithms that balance the needs for video rate smoothness and high bandwidth utilization. We show that a small video rate margin can lead to much improved smoothness in video rate and buffer size. The proposed DASH designs are also extended to work with multiple CDN servers. We develop a fully-functional DASH system and evaluate its performance through extensive experiments on a network testbed and the Internet. We demonstrate that our DASH designs are highly efficient and robust in realistic network environment.